Accepting applications until: 3 July 2026
Job Description
Your Role: Java Developer
The Commercial Technology team develops and maintains the products that drive Global’s commercial revenues across both Radio and Outdoor.
As a Java Developer at Global, you’ll work across a suite of Java 17+ (mostly Java 21) and Spring Boot microservices, some of which are event‑driven. You’ll contribute across the full technical lifecycle, from CI/CD pipelines and infrastructure to production monitoring, using modern AI tools as part of your daily workflow to deliver high‑quality, reliable software.
Key Responsibilities
- Feature Development & Platform Evolution (40%): Develop new features for the business and enhance the platform architecture to support future roadmap initiatives.
- Collaboration & Delivery (40%): Work closely with other developers, software architects and product owners to understand requirements, shape implementation approaches and ensure smooth integration of microservices and components.
- Operations, AI & Continuous Improvement (20%): Contribute to CI/CD pipelines (Jenkins/Terraform), run services in Kubernetes (EKS on AWS), and support monitoring/alerting (Prometheus/Grafana). Use AI coding tools to accelerate delivery while maintaining rigorous code quality through reviews and strong engineering judgement.
What You’ll Love About This Role
- Think Big: Work on systems that power Global’s commercial success, using modern architectures, cloud platforms and AI tools.
- Own It: Take responsibility for services end‑to‑end, from design through to production support and continuous improvement.
- Keep it Simple: Design and build solutions that are clear, maintainable and easy to operate in production.
- Better Together: Be part of a friendly, close‑knit, highly collaborative agile team that values learning, pairing and collective problem‑solving.
What Success Looks Like
In your first few months, you’ll have:
- Demonstrated effective use of AI coding tools while maintaining high code quality standards.
- Participated in code reviews that evaluate both human‑written and AI‑generated code for production readiness.
- Contributed to team AI practices such as prompt libraries, quality standards and best‑practice documentation.
- Built a strong understanding of the business context and how it relates to the team’s deliverables.
- Gained a solid overview of the team’s system architecture and how your services fit within it.
What You’ll Need
- Java Expertise: Strong experience with Java 17/21, Spring Boot, and both RDBMS and NoSQL persistence technologies. Openness to learning additional languages used across the team.
- AI-Native Development: Experience using AI coding assistants (e.g. Claude Code, GitHub Copilot, Cursor or similar) and the ability to review and refine AI-generated code to production quality.
- Engineering Judgement: The ability to balance speed with technical quality, deciding when to leverage AI tools versus hands‑on implementation.
- System & Event Architecture: Exposure to event‑driven and publish‑subscribe technologies such as Kafka, RabbitMQ or SNS/SQS.
- Testing Skills: Experience writing well‑tested code and contributing to robust automated test suites.
- Collaboration & Communication: Comfortable working closely with cross‑functional colleagues in an agile environment, sharing ideas and giving/receiving feedback.
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